Seoul, South Korea

Gun-Chul Song


Average Co-Inventor Count = 2.7

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2010-2012

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2 patents (USPTO):Explore Patents

Title: Gun-Chul Song: Innovator in Mobile Technology

Introduction

Gun-Chul Song is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of mobile technology, particularly in the areas of pattern recognition and color temperature correction. With a total of 2 patents, his work has been instrumental in enhancing the functionality of mobile devices.

Latest Patents

One of Gun-Chul Song's latest patents is an "Apparatus and method for recognizing pattern data in a mobile terminal." This invention provides an improved method for recognizing pattern data by extracting high-frequency components from data sensed through a camera in a mobile station. The method enhances the clarity of edge portions, thereby increasing the recognition rate of the pattern data.

Another notable patent is the "Method and apparatus for color temperature correction in a built-in camera of a portable terminal." This invention focuses on auto white balance in portable terminals. It analyzes captured images using histograms of red, green, and blue channels, as well as a gray channel. The method measures color distribution averages and performs color temperature correction to improve image quality.

Career Highlights

Gun-Chul Song is currently employed at Samsung Electronics Co., Ltd., a leading company in the technology sector. His work at Samsung has allowed him to develop innovative solutions that enhance user experience in mobile devices.

Collaborations

Throughout his career, Gun-Chul Song has collaborated with talented individuals such as Seung-Cheol Lee and Hee-Deog Kim. These collaborations have contributed to the successful development of his patents and innovations.

Conclusion

Gun-Chul Song is a notable inventor whose work in mobile technology has led to significant advancements in pattern recognition and image processing. His contributions continue to shape the future of mobile devices, making them more efficient and user-friendly.

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